Meeting Title: AI-Data Platform Team Planning Date: 2025-07-28 Meeting participants: Mustafa Raja, Sam Roberts, Vashdev Heerani, Uttam Kumaran, Casie Aviles, Luke Daque, Miguel de Veyra


WEBVTT

1 00:05:53.490 00:05:55.239 Uttam Kumaran: Everyone. Good morning.

2 00:05:55.810 00:05:58.349 Uttam Kumaran: The sun is like in my eyes today.

3 00:06:03.020 00:06:04.349 Uttam Kumaran: Hey? Good morning.

4 00:06:05.310 00:06:05.780 Vashdev Heerani: Good morning!

5 00:06:05.780 00:06:08.490 Uttam Kumaran: Yeah, something just looks like it’s in a bad spot for you.

6 00:06:08.490 00:06:13.726 Uttam Kumaran: Yeah, I know it’s like, right in the middle. Just stand sit right here.

7 00:06:16.940 00:06:44.529 Uttam Kumaran: Great! Well, maybe I’ll kick things off by just introducing Sam. I, Sam, I did a stole a little bit of your thunder on Friday. I I gave a little bit of an intro but you have the team on here. So you have Mustafa Casey, who both work and Miguel, who are both all 3 are on the AI engineering team. Luke and Vashtev are both on the data engineering

8 00:06:44.810 00:06:46.789 Uttam Kumaran: data platform team.

9 00:06:47.620 00:07:06.682 Uttam Kumaran: and really this meeting. We meet to review all of our we we do like one week sort of like rolling sprints for this team, just because it’s all of our internal platform work. So we’ll kind of probably go through just normal tickets today to kind of get a sense of like what we’re working on. And then I think,

10 00:07:07.100 00:07:13.080 Uttam Kumaran: I’ll probably grab some time with you later today, and just kind of give you an overview of like all of our core priorities, and then

11 00:07:13.260 00:07:18.350 Uttam Kumaran: just talk through whatever so don’t worry about getting

12 00:07:18.470 00:07:28.270 Uttam Kumaran: caught up too fast, but you’ll get us. You’ll see everything so cool. Yeah. Maybe if you want to give a brief introduction for everyone. I figured.

13 00:07:28.620 00:07:33.879 Sam Roberts: Yeah, I don’t know what people know already. But but yeah, I’m Sam.

14 00:07:34.560 00:07:41.380 Sam Roberts: I’m here in Cleveland, Cleveland Heights, Ohio. Been working in software for

15 00:07:41.800 00:08:05.820 Sam Roberts: better part of a little over a decade. I guess I was mechanical engineering undergrad. Been in software, worked in some hair care operations. Roles bounced around a little bit that way. I’m really excited to jump in. I was kind of familiarize myself with some of the stuff in linear and github this morning. But not really sure where to look yet so excited to really jump in and see how everything’s rolling along.

16 00:08:08.000 00:08:10.030 Uttam Kumaran: Awesome any questions from anyone.

17 00:08:13.440 00:08:16.519 Uttam Kumaran: Okay? If not, then we will just jump into stuff.

18 00:08:17.330 00:08:31.740 Uttam Kumaran: So yeah, let’s just talk about plan for this sprint, so I’ll share green here.

19 00:08:33.573 00:08:35.309 Uttam Kumaran: So kind of the

20 00:08:36.309 00:08:42.629 Uttam Kumaran: orientation of like what we look at in this meeting is really just I look at like sort of what

21 00:08:42.980 00:08:47.189 Uttam Kumaran: the core client teams are, as well as our internal platform work.

22 00:08:47.410 00:08:48.330 Uttam Kumaran: So

23 00:08:48.560 00:09:00.379 Uttam Kumaran: you know, I’ll kind of be probably a little bit more verbose in this meeting. Just so Sam gets a sense of of what we’re working on. But we have a few clients. That we have, you know, as part of our AI teamwork.

24 00:09:02.010 00:09:08.389 Uttam Kumaran: so we are working for in terms of clients. We have ABC home and commercial. They’re one of the largest

25 00:09:08.907 00:09:16.050 Uttam Kumaran: home past service companies here in Central Texas. Actually, their office is just up the road from my house here.

26 00:09:16.808 00:09:23.500 Uttam Kumaran: And we are building some pretty significant like

27 00:09:24.036 00:09:46.440 Uttam Kumaran: co-pilots for their customer service team. So when they’re taking phone calls, you know, to help customers, they’re able to actually chat over a series of different documents. To answer questions about procedure policies. Things like that. So Amber. Who you’ll you’ll also meet? Probably today. She’s the project manager for that.

28 00:09:46.620 00:10:07.420 Uttam Kumaran: That team actually has their own stand ups. I just like to be aware of like what the capacities are, because this team is is really managing some of our internal work. So I kind of look at what what do all the teams sort of have on their plate right now. We also have default defaultcom. They’re a go to market.

29 00:10:08.360 00:10:12.612 Uttam Kumaran: sales, software tool. B, 2 b

30 00:10:13.890 00:10:38.300 Uttam Kumaran: for them. We have a couple of different work streams, one of which is helping their revenue go to market team with some automations. So that we’re working on there and then interlude studio. This is a a design firm that builds sort of branding for like series a series B companies, and we are helping them automate part of their

31 00:10:39.330 00:10:49.400 Uttam Kumaran: client onboarding process. So as part of their client onboarding process, they do interviews, they have a questionnaire, and then they build like basically their pitch decks for them.

32 00:10:50.112 00:10:54.139 Uttam Kumaran: That process they are doing somewhat through like AI, like

33 00:10:54.240 00:11:18.909 Uttam Kumaran: the CEO is in Claude, and then he’s like copying some stuff over. We’re basically gonna automate that whole thing for him. And so there’s several tickets there. And then we have our AI team. This is everything related to our internal platform. Which I’ll I’ll I’ll share, and I’ll talk about today. And then data platform. Vasha, this is where I think you’ll be sort of have a lot of stuff

34 00:11:19.060 00:11:34.890 Uttam Kumaran: here. But this is just around anything we need for the AI team in terms of data related tickets, anything around like new tools. We want to add to our client teams. As well as data needs for finance operations.

35 00:11:35.404 00:11:38.685 Uttam Kumaran: So things like where we we want to measure

36 00:11:39.150 00:11:43.659 Uttam Kumaran: you know, our linear tickets. We want to measure slack messages. We want to measure

37 00:11:44.310 00:11:48.070 Uttam Kumaran: clockify hours. So there’s some data engineering tasks related to here.

38 00:11:48.280 00:12:09.270 Uttam Kumaran: So these are kind of the core projects that we talk about. I would say. The only thing that changes is as we get new clients. I’m me and Mustafa together, working on interlude. Default. Has its own project manager and ABC has its own project manager. And then I’m basically project managing the

39 00:12:09.390 00:12:11.659 Uttam Kumaran: AI teamwork and the data platform work.

40 00:12:12.520 00:12:19.869 Uttam Kumaran: So just hop in kind of like what I like to just look at is first, st just start with

41 00:12:19.970 00:12:24.220 Uttam Kumaran: clients. So I kind of take a look at. Okay, what do we have for interlude?

42 00:12:24.420 00:12:31.270 Uttam Kumaran: Though, Mustafa? We talked about each of these. And I left some questions.

43 00:12:31.822 00:12:37.470 Uttam Kumaran: on this basically like to break this down. But the other tickets I feel okay with

44 00:12:39.320 00:12:47.899 Mustafa Raja: Yeah. So with that I have added the deck agent and I modified a little bit. On the setup. Slack thing.

45 00:12:48.960 00:12:49.570 Uttam Kumaran: Okay.

46 00:12:49.800 00:13:14.399 Mustafa Raja: Yeah. So here, here the other day you suggested that and attend has released the agent node thing right? So I’m planning on using that and having series of agents connected to our orchestrator or main agent. That kind of overlooks each of these steps quality checks them and so we can prepare

47 00:13:15.887 00:13:20.540 Mustafa Raja: a reasonable deck to present as draft.

48 00:13:21.930 00:13:22.520 Uttam Kumaran: Okay?

49 00:13:24.260 00:13:32.250 Uttam Kumaran: And then, for I would say, probably this is like the highest priority golden data sheet. We can leave.

50 00:13:34.090 00:13:38.330 Uttam Kumaran: This one as well, it’s probably more high, which is a slack agent.

51 00:13:38.881 00:13:42.600 Uttam Kumaran: and then this one should I? Just mark as.

52 00:13:42.600 00:13:46.230 Mustafa Raja: Yeah, maybe. Yeah, this this kind of is a duplicate. Now.

53 00:13:47.700 00:13:48.280 Uttam Kumaran: Okay.

54 00:13:50.480 00:13:53.459 Mustafa Raja: And maybe we can break down the deck agent a little bit more.

55 00:13:54.070 00:14:01.782 Uttam Kumaran: Yeah. So to give everyone a sense of like what we’re what we’re planning on doing here. We

56 00:14:03.690 00:14:23.800 Uttam Kumaran: we’re we’re gonna be taking in transcripts, notes, and like a questionnaire form and basically building out like the outline for a slide deck. There have a very specific outline. They’re working on, and that ends up happening in notion. And so part of the way this agent is gonna work is the client will be able to trigger this in slack.

57 00:14:23.910 00:14:28.660 Uttam Kumaran: and then the agent will actually tell them. Give them the draft, and then they can

58 00:14:29.070 00:14:31.670 Uttam Kumaran: make changes kind of like. Have a human in the loop

59 00:14:31.800 00:14:36.210 Uttam Kumaran: movement in slack, and then say, publish, and it’ll publish to notion.

60 00:14:37.550 00:14:40.112 Uttam Kumaran: So I guess, Mustafa, for this

61 00:14:41.050 00:14:47.800 Uttam Kumaran: I think one. It would be helpful to see a breakdown of all of these slides.

62 00:14:48.040 00:14:56.740 Uttam Kumaran: and like examples? From what they sent us, does that make sense.

63 00:14:58.870 00:14:59.950 Mustafa Raja: Oh, yeah.

64 00:15:01.820 00:15:04.763 Uttam Kumaran: Like, if maybe we could have that in a

65 00:15:05.380 00:15:11.190 Uttam Kumaran: document. And for everyone else, actually, I’m gonna share this in slack. This is the sort of

66 00:15:14.360 00:15:17.320 Uttam Kumaran: the technical design document that Mustafa and I worked on.

67 00:15:19.290 00:15:22.479 Uttam Kumaran: So yeah, mainly, I’m thinking about.

68 00:15:23.310 00:15:28.509 Uttam Kumaran: can we start to break down all of the core. Can we have a breakdown of all? The core slides.

69 00:15:29.640 00:15:37.229 Mustafa Raja: Yeah, yeah. And then I’ll analyze the cloud chance that they’ve sent a little bit more.

70 00:15:37.230 00:15:40.640 Mustafa Raja: Okay, to see how we can vision this more.

71 00:15:41.290 00:15:42.240 Uttam Kumaran: Okay, okay.

72 00:15:43.600 00:15:48.139 Uttam Kumaran: So for this one, we have our meeting with them on.

73 00:15:49.660 00:15:51.899 Uttam Kumaran: I guess I should. I’ll probably book it.

74 00:15:52.060 00:15:54.930 Uttam Kumaran: But what do you think about a timeline for this.

75 00:15:57.103 00:16:02.670 Mustafa Raja: So so in the meeting we we want to show them how this is working right.

76 00:16:03.260 00:16:04.020 Uttam Kumaran: Yeah.

77 00:16:04.660 00:16:07.840 Mustafa Raja: Yeah. So I guess thursday might be.

78 00:16:07.840 00:16:10.040 Uttam Kumaran: Care less about the slack integration.

79 00:16:10.260 00:16:11.859 Mustafa Raja: Yeah, and this working.

80 00:16:12.240 00:16:12.990 Uttam Kumaran: Yeah.

81 00:16:13.470 00:16:16.450 Mustafa Raja: Yeah. Maybe maybe Wednesday or Thursday would would be a good time.

82 00:16:17.000 00:16:23.690 Uttam Kumaran: Okay, let’s aim for Wednesday. I’ll probably break this down a bit more honestly. I’ll tell you when I do. I’ll just talk about it a little bit more.

83 00:16:30.690 00:16:33.758 Uttam Kumaran: Okay, great. And then slack bot

84 00:16:34.480 00:16:36.110 Uttam Kumaran: What do you think about this as well.

85 00:16:36.110 00:16:42.779 Mustafa Raja: Yeah, this, this is just this, this shouldn’t take very much time. This we have done it before.

86 00:16:43.576 00:16:53.840 Mustafa Raja: Is it? The the question is that, do we want the slack boat on their workspace, or or is it going to be within our workspace? Only.

87 00:17:00.820 00:17:03.219 Mustafa Raja: Because then we would need their credentials and all.

88 00:17:04.069 00:17:07.629 Uttam Kumaran: I would prefer to be within their workspace.

89 00:17:11.289 00:17:12.859 Uttam Kumaran: But that’s a good question.

90 00:17:13.159 00:17:17.859 Uttam Kumaran: I mean, easiest is for us to do it right, and then all it takes to swap the web hook.

91 00:17:18.109 00:17:18.859 Mustafa Raja: Yeah, yeah.

92 00:17:19.430 00:17:20.549 Uttam Kumaran: And then you can just.

93 00:17:21.109 00:17:32.439 Mustafa Raja: Yeah, we can. We can start by having the slack bot within our workspace and then maybe present them. Present it to them in a meeting, and

94 00:17:33.414 00:17:36.729 Mustafa Raja: if the field is good enough, we can transfer it to the workspace.

95 00:17:37.710 00:17:38.480 Uttam Kumaran: Yeah.

96 00:17:48.800 00:17:49.530 Uttam Kumaran: okay.

97 00:17:55.530 00:17:56.490 Uttam Kumaran: great.

98 00:17:59.610 00:18:03.060 Uttam Kumaran: Okay? And then, yeah, golden data sheet. I think

99 00:18:03.550 00:18:11.710 Uttam Kumaran: maybe as part of your research, this is actually would be helpful to to look at.

100 00:18:12.670 00:18:13.330 Mustafa Raja: Yeah.

101 00:18:16.370 00:18:17.210 Uttam Kumaran: So I guess I want to see.

102 00:18:17.210 00:18:25.620 Mustafa Raja: Yeah, I’ll be I’ll be analyzing the what’s it called the deck cloud chats. Yeah. The cloud chats that they’ve.

103 00:18:25.620 00:18:27.419 Uttam Kumaran: I think what’s what would be helpful is

104 00:18:27.560 00:18:34.599 Uttam Kumaran: well, like when you you can, we can make our golden data shade ideally. You look through the cloud chats. And you have versions of like, what is

105 00:18:35.110 00:18:37.680 Uttam Kumaran: are really great outcome.

106 00:18:37.820 00:18:39.840 Uttam Kumaran: And you can start working on that. Okay.

107 00:18:41.130 00:18:43.639 Uttam Kumaran: okay, perfect. So yeah, this is the

108 00:18:43.810 00:18:48.546 Uttam Kumaran: I would say. This is the 1st priority, and then, if we’re talking about default again, I think

109 00:18:48.970 00:18:54.160 Uttam Kumaran: office, and me, you and Henry for default.

110 00:18:54.440 00:18:55.659 Uttam Kumaran: We have

111 00:18:57.210 00:19:01.889 Uttam Kumaran: a couple of things, so I know we’re are we still waiting on things from from Ryan.

112 00:19:04.178 00:19:13.870 Mustafa Raja: We we did get a reply by Lev let me mean what it was.

113 00:19:14.810 00:19:20.640 Mustafa Raja: Yes, left. Say, said, let me know if we want to chat about initial clay stuff.

114 00:19:21.805 00:19:26.759 Mustafa Raja: Okay, fly on ambers. Weekly meeting thing.

115 00:19:28.750 00:19:30.790 Uttam Kumaran: So I know we asked them to put in.

116 00:19:31.970 00:19:35.739 Mustafa Raja: Yeah, also, we yeah, yeah. The on the in the sheet.

117 00:19:36.870 00:19:37.580 Uttam Kumaran: Okay.

118 00:19:37.930 00:19:39.669 Mustafa Raja: For Henry to work on.

119 00:19:40.570 00:19:45.399 Uttam Kumaran: So the steps we talked about from that meeting is we talked about like we’re gonna go through. And

120 00:19:45.660 00:19:49.380 Uttam Kumaran: like, I’m gonna probably cut half of the signals out.

121 00:19:49.660 00:19:50.070 Mustafa Raja: Yeah.

122 00:19:50.070 00:19:56.760 Uttam Kumaran: And then decide on some combinations to start working on.

123 00:19:56.760 00:19:57.560 Mustafa Raja: Yeah, yeah.

124 00:19:58.810 00:19:59.440 Uttam Kumaran: Okay.

125 00:20:02.630 00:20:09.779 Uttam Kumaran: okay. So I’m going to this. So salesforce access, I’m gonna say, is blocked.

126 00:20:14.640 00:20:23.200 Uttam Kumaran: One thing I’m gonna also do is for this one.

127 00:20:25.140 00:20:33.049 Uttam Kumaran: Actually, just going to do this as reduce size of signal list.

128 00:20:33.890 00:20:39.019 Uttam Kumaran: prioritize a few signal combinations to test.

129 00:20:45.550 00:20:46.250 Uttam Kumaran: Okay?

130 00:20:47.100 00:20:48.180 Uttam Kumaran: Perfect.

131 00:20:55.800 00:21:00.770 Uttam Kumaran: oh, okay, okay.

132 00:21:01.670 00:21:06.450 Uttam Kumaran: So for this one, I want to do this as tomorrow.

133 00:21:10.940 00:21:12.800 Uttam Kumaran: this one is also blocked.

134 00:21:15.270 00:21:17.870 Uttam Kumaran: This one is, gonna be a duplicate.

135 00:21:23.720 00:21:24.470 Uttam Kumaran: Okay.

136 00:21:28.060 00:21:28.890 Uttam Kumaran: perfect.

137 00:21:31.630 00:21:33.813 Uttam Kumaran: Okay, great. So I think,

138 00:21:34.580 00:21:44.970 Uttam Kumaran: you, there’s gonna be one ticket on creating play table for signal combinations.

139 00:21:46.010 00:21:46.740 Mustafa Raja: Yeah.

140 00:21:46.740 00:21:49.920 Uttam Kumaran: I think that’s blocked by my ticket.

141 00:21:51.390 00:21:51.930 Mustafa Raja: Yeah.

142 00:21:56.540 00:22:01.540 Uttam Kumaran: So I’m gonna say, blocked by

143 00:22:06.530 00:22:07.160 Uttam Kumaran: next.

144 00:22:07.830 00:22:09.239 Uttam Kumaran: Okay, perfect.

145 00:22:10.590 00:22:13.039 Uttam Kumaran: Okay, cool. So I’ll have this for you probably tomorrow.

146 00:22:13.470 00:22:14.250 Mustafa Raja: Yeah, yeah.

147 00:22:15.160 00:22:19.630 Uttam Kumaran: And then Henry is out this week, so it’ll be

148 00:22:20.020 00:22:22.230 Uttam Kumaran: his stuff will be next week.

149 00:22:22.850 00:22:25.107 Uttam Kumaran: and then, yeah, I guess I’ll I’ll

150 00:22:27.080 00:22:31.489 Uttam Kumaran: I may work on this with the wish or with bosh dev. On some of these

151 00:22:31.670 00:22:35.380 Uttam Kumaran: did architecture diagrams for this. So I’ll decide on that as well.

152 00:22:35.920 00:22:40.870 Uttam Kumaran: okay, great. So let’s talk about AI team

153 00:22:41.679 00:22:46.090 Uttam Kumaran: anything on ABC for Casey and Mustafa. Like, do you guys feel okay?

154 00:22:46.740 00:22:53.010 Mustafa Raja: Yeah. Last week. We closed on what’s it called the mechanical routing stuff.

155 00:22:53.320 00:22:57.250 Uttam Kumaran: Okay. So I guess Amber is going to show them that.

156 00:22:57.840 00:22:58.390 Uttam Kumaran: Okay.

157 00:22:58.390 00:22:59.160 Mustafa Raja: Yeah.

158 00:22:59.370 00:23:02.140 Mustafa Raja: And then we’ll have a planning meeting today.

159 00:23:03.280 00:23:04.240 Uttam Kumaran: Okay. Okay.

160 00:23:04.240 00:23:08.110 Mustafa Raja: For this week other than that. It’s pretty smooth.

161 00:23:09.200 00:23:09.740 Uttam Kumaran: Okay.

162 00:23:13.900 00:23:20.830 Uttam Kumaran: okay, great. So then let’s talk about AI teamwork. So yeah, last week we ended up

163 00:23:21.702 00:23:24.660 Uttam Kumaran: there’s still some stuff in review.

164 00:23:26.470 00:23:28.930 Uttam Kumaran: I know Miguel. This one, I think.

165 00:23:32.670 00:23:35.169 Uttam Kumaran: Yeah, I guess I think it’s

166 00:23:35.470 00:23:38.899 Uttam Kumaran: it’s still up to review for me on like, what’s gonna happen next steps.

167 00:23:39.030 00:23:44.869 Uttam Kumaran: Basically for Sam and Vashta. Basically, we’re working on a ticket grooming automation.

168 00:23:45.180 00:23:48.190 Uttam Kumaran: So you can actually

169 00:23:48.750 00:23:58.839 Uttam Kumaran: go into a ticket and type in groom and an AI agent will actually look through the ticket and provide suggestions on like, what’s

170 00:23:59.359 00:24:06.990 Uttam Kumaran: missing. Basically, this goal of this automation is to help our project management team sort of streamline grooming.

171 00:24:07.452 00:24:12.060 Uttam Kumaran: So this one, I think Miguel is still waiting for review from me. So I’m just gonna leave it

172 00:24:12.290 00:24:17.130 Uttam Kumaran: as is standalone agent for linear ticket creation.

173 00:24:18.616 00:24:20.650 Uttam Kumaran: Yeah, I’m good with this.

174 00:24:20.650 00:24:21.060 Mustafa Raja: Yeah.

175 00:24:21.060 00:24:23.070 Uttam Kumaran: I don’t have any notes, so

176 00:24:24.520 00:24:30.899 Uttam Kumaran: to give everyone a sense of what this is basically and let me let me, I’ll just kind of share. My.

177 00:24:33.600 00:24:37.140 Uttam Kumaran: I’ll share my whole screen, and we can take a look at the example.

178 00:24:37.490 00:24:38.930 Uttam Kumaran: Or is this in Pr.

179 00:24:39.910 00:24:43.230 Mustafa Raja: Hmm, no, no, no, this this is good.

180 00:24:43.230 00:24:43.800 Uttam Kumaran: Boy.

181 00:24:44.286 00:24:48.099 Mustafa Raja: Guess, Taya, because Amber also used it the other day.

182 00:24:48.960 00:24:49.570 Uttam Kumaran: Okay.

183 00:24:50.240 00:24:54.570 Uttam Kumaran: So to give everyone a sense of what this is in our platform.

184 00:24:56.780 00:25:04.170 Uttam Kumaran: So if you go to platform.brainforge.ai, you’ll kind of see our internal platform. This is

185 00:25:04.670 00:25:07.989 Uttam Kumaran: basically the culmination of a lot of like what we’re working on on the AI team.

186 00:25:08.508 00:25:11.729 Uttam Kumaran: Vash Dev and Sam. I’ll kind of go through this with you

187 00:25:11.940 00:25:16.339 Uttam Kumaran: when we meet. But one of the tools that we released

188 00:25:16.480 00:25:25.469 Uttam Kumaran: for our team is this linear tickets agent. So what you can actually do is put in meeting notes, transcripts. And it actually helps you create tickets from that.

189 00:25:25.630 00:25:27.540 Uttam Kumaran: This is like a task that

190 00:25:27.810 00:25:44.879 Uttam Kumaran: takes a long time for project managers. And anyone basically managing a project. So we built a little agent that does that. Basically, the output of that agent is this here which is like you put in a transcript, and we have a little ui that you can

191 00:25:45.020 00:25:46.959 Uttam Kumaran: edit the ticket click on it.

192 00:25:47.250 00:25:52.419 Uttam Kumaran: I’m sure, Sam, you have a bunch of web related questions

193 00:25:52.820 00:26:04.892 Uttam Kumaran: or front end related stuff. But yeah, kind of one thing, I think, where we can get Sam involved. Also is on Pr reviews for front end stuff guys. So we can start to consider that

194 00:26:05.620 00:26:07.060 Uttam Kumaran: just a random thought.

195 00:26:08.800 00:26:11.989 Uttam Kumaran: But okay, I feel good about this. Let me, I’m just gonna close this one.

196 00:26:12.718 00:26:16.070 Uttam Kumaran: Let’s look at anything else. So

197 00:26:17.540 00:26:22.079 Uttam Kumaran: this one, I actually did. And this one I did.

198 00:26:24.440 00:26:28.190 Uttam Kumaran: Oh, okay, hold on one second, and

199 00:26:32.270 00:26:33.800 Uttam Kumaran: it’s gonna load.

200 00:26:36.940 00:26:38.070 Uttam Kumaran: maybe not.

201 00:26:39.560 00:26:41.160 Uttam Kumaran: Okay, here we go.

202 00:26:49.080 00:26:52.009 Uttam Kumaran: Okay, so ait.

203 00:26:52.380 00:26:57.910 Uttam Kumaran: This is so if we go back great

204 00:26:58.288 00:27:02.270 Uttam Kumaran: so, Miguel, do you still have both of these in progress?

205 00:27:08.390 00:27:09.340 Uttam Kumaran: You’re on mute.

206 00:27:10.410 00:27:11.719 Miguel de Veyra: I’m sorry. What? Again?

207 00:27:13.500 00:27:14.949 Uttam Kumaran: These 2 are in progress.

208 00:27:15.200 00:27:16.170 Miguel de Veyra: The Co.

209 00:27:17.690 00:27:22.310 Miguel de Veyra: no, I think I was just testing them out. The fixing and adding should be deployed. To be honest.

210 00:27:23.000 00:27:28.879 Miguel de Veyra: I’ll double check it because I have not been here for a while. But the other one.

211 00:27:34.840 00:27:36.310 Uttam Kumaran: Yeah. The ambient agents.

212 00:27:38.040 00:27:41.900 Miguel de Veyra: Yeah, I think this is also working. I’ll I’ll put some updates on the ticket today.

213 00:27:42.620 00:27:48.160 Uttam Kumaran: Okay, okay, so this one, I’d like us to see this get done

214 00:27:48.430 00:27:53.239 Uttam Kumaran: this week. But ideally like Wednesday, we just have something out there. Okay.

215 00:27:55.110 00:27:59.440 Uttam Kumaran: okay. Adding deals to platform. Mustafa, you’re still working on this.

216 00:27:59.920 00:28:16.730 Mustafa Raja: Yeah, I just need to update the filter. Right now, what we are doing is we are comparing the titles. What I’m going to do right now is just see if the members of a con the members associated with the company are in a certain meeting or not.

217 00:28:18.230 00:28:18.820 Mustafa Raja: Okay. And if

218 00:28:18.820 00:28:24.380 Mustafa Raja: I think that is, that is a much broader broader, filter than what we have right now.

219 00:28:25.010 00:28:26.820 Uttam Kumaran: Other than that. It’s good.

220 00:28:28.530 00:28:31.000 Uttam Kumaran: And then, Casey, you’re still working on this one.

221 00:28:32.232 00:28:33.620 Casie Aviles: I’ve already scraped

222 00:28:34.359 00:28:40.550 Casie Aviles: all the members from that group, although the only thing is that we don’t have the emails. And I think

223 00:28:40.660 00:28:43.929 Casie Aviles: that might be because of a privacy thing that meet up.

224 00:28:44.360 00:28:46.289 Casie Aviles: Yeah has set up for some. Yeah.

225 00:28:47.990 00:28:54.730 Uttam Kumaran: That’s fine. I think. We can use this and what we can go get them from clay. So this is great. So I’ll move this to review.

226 00:28:55.170 00:28:55.820 Casie Aviles: Okay.

227 00:28:59.090 00:28:59.800 Uttam Kumaran: Perfect.

228 00:29:00.870 00:29:14.589 Uttam Kumaran: And then so let’s talk about bringing some stuff in. So I think, really, I know, Mustafa, you’re gonna be pretty jammed with with client work. So I just want to be a little bit more mindful of like what we bring in.

229 00:29:15.124 00:29:19.809 Uttam Kumaran: The other thing is, we have several client hubs that need to get created.

230 00:29:21.900 00:29:26.340 Uttam Kumaran: And these are all sort of things that we want to start to see in the platform.

231 00:29:26.480 00:29:32.260 Uttam Kumaran: I guess. Like, what’s what is the steps to accomplish these

232 00:29:32.400 00:29:34.239 Uttam Kumaran: creating a new one? And for

233 00:29:34.580 00:29:38.159 Uttam Kumaran: for context, for everyone. Like when we get a new client.

234 00:29:38.300 00:29:43.490 Uttam Kumaran: we create a client hub. And this you can actually do through the Ui, you can create a client.

235 00:29:44.600 00:29:53.569 Uttam Kumaran: Yeah. But there is some back end work that needs to happen to link slack. And maybe you guys can tell me, like what the current process is.

236 00:29:57.350 00:29:59.020 Mustafa Raja: Yeah, I guess maybe Casey and Miguel.

237 00:29:59.020 00:30:00.400 Uttam Kumaran: Yeah, or anyone?

238 00:30:00.590 00:30:01.380 Uttam Kumaran: Yeah.

239 00:30:01.500 00:30:03.529 Casie Aviles: Yeah, for for the slack

240 00:30:03.740 00:30:09.709 Casie Aviles: part. We would have to create like a a new slack app for each client hub, and then

241 00:30:11.640 00:30:13.080 Casie Aviles: we’ll have to do some.

242 00:30:13.970 00:30:16.810 Casie Aviles: We’ll have to connect like the super base.

243 00:30:17.420 00:30:31.040 Casie Aviles: So I think we’ll have to update that or I’m not. I’m not really sure if it’s already automatic, like, whenever there’s like a new client. But yeah, we’ll have to connect super base to the n 8 n workflow. And yeah, we’ll also need to create a new.

244 00:30:31.250 00:30:33.519 Casie Aviles: any 10 workflow per client.

245 00:30:34.610 00:30:38.740 Miguel de Veyra: Then basically, what you do is the web hook URL of that

246 00:30:43.360 00:30:45.610 Miguel de Veyra: of that client. You just paste it there, too.

247 00:30:55.170 00:30:59.220 Uttam Kumaran: But what is a web hook like? What? What is a web hook trigger in this? In this case.

248 00:31:00.367 00:31:03.849 Miguel de Veyra: The one, the the trigger for the agent, basically.

249 00:31:03.850 00:31:04.820 Uttam Kumaran: Oh.

250 00:31:12.350 00:31:13.120 Uttam Kumaran: okay.

251 00:31:13.510 00:31:22.400 Uttam Kumaran: so yeah, one is like, I think, Miguel, maybe I’ll give this to you. This is like, just create a sop for this

252 00:31:22.750 00:31:26.149 Uttam Kumaran: that way. Our team has documentation on like

253 00:31:27.260 00:31:28.289 Miguel de Veyra: How to do it. Yeah.

254 00:31:28.540 00:31:30.629 Uttam Kumaran: Yeah, like, how do we do this every time?

255 00:31:36.596 00:31:42.230 Uttam Kumaran: And then all these need to get added, like, how tough of a process like, what would you guys estimate these at.

256 00:31:50.790 00:31:58.079 Casie Aviles: I think the other parts like, you know, the duplicating, duplicating workflows, creating slack ups that should be.

257 00:31:58.410 00:32:01.400 Casie Aviles: And that’s just, you know,

258 00:32:03.360 00:32:07.096 Casie Aviles: replicable. It’s, you know, you can use templates for that.

259 00:32:07.670 00:32:10.269 Casie Aviles: but I’m not sure about the super base part.

260 00:32:12.166 00:32:14.243 Casie Aviles: Because we have to vectorize that right?

261 00:32:15.330 00:32:19.340 Casie Aviles: We have the pay retrieval steps as well. If I’m not mistaken.

262 00:32:25.980 00:32:27.630 Miguel de Veyra: Problem. Yeah, dude or 2.

263 00:32:29.580 00:32:34.335 Uttam Kumaran: I guess. Can you guys why like why and when we rep like, what? How much can we

264 00:32:35.050 00:32:36.230 Miguel de Veyra: Just duplicate.

265 00:32:36.960 00:32:39.690 Uttam Kumaran: Yeah, but less about the duplication, like.

266 00:32:39.950 00:32:43.709 Uttam Kumaran: I’m trying to think about how we can make this more reusable, like.

267 00:32:44.990 00:32:47.949 Uttam Kumaran: you know, versus having workflows for every client.

268 00:32:50.870 00:32:54.999 Uttam Kumaran: We have some reusability. I don’t know. Maybe this is something we can all talk about later, but.

269 00:32:55.520 00:32:56.290 Miguel de Veyra: Maybe we can

270 00:32:56.290 00:33:03.009 Miguel de Veyra: do what we did for the AI agents, where we can edit like the prompt there. But I think we still have to do some stuff manually.

271 00:33:04.300 00:33:07.469 Miguel de Veyra: you know, connecting the Github to slack.

272 00:33:09.420 00:33:11.860 Miguel de Veyra: And then, yeah, everything else.

273 00:33:12.300 00:33:12.980 Uttam Kumaran: Okay.

274 00:33:14.370 00:33:18.250 Uttam Kumaran: So I would say, these 3 are a priority. But I would also like

275 00:33:19.180 00:33:25.669 Uttam Kumaran: for us to have this sop and then for us to like, maybe have a review meeting on like the architecture.

276 00:33:26.450 00:33:27.540 Miguel de Veyra: Okay. Sure.

277 00:33:36.200 00:33:36.810 Miguel de Veyra: Oh!

278 00:33:37.094 00:33:42.209 Uttam Kumaran: Okay, cool. So I don’t know, Miguel, do you? Wanna maybe one person should just take all these.

279 00:33:42.580 00:33:45.589 Miguel de Veyra: Yeah, I can cause. Yeah, I could probably take all it.

280 00:33:46.620 00:33:47.210 Uttam Kumaran: Okay.

281 00:33:52.060 00:33:53.420 Uttam Kumaran: okay, great.

282 00:33:55.730 00:34:04.369 Uttam Kumaran: So the other thing that I want to move on to is to start looking at this

283 00:34:05.215 00:34:07.359 Uttam Kumaran: transcript search functionality.

284 00:34:10.199 00:34:15.889 Uttam Kumaran: Kind of the goal here is being able to allow transcript search.

285 00:34:16.575 00:34:22.890 Uttam Kumaran: I know we talked about like Meli Search or Algolia. I don’t know, Sam, if you’ve worked with any like

286 00:34:23.560 00:34:29.330 Uttam Kumaran: search products like this, if not, that’s that’s fine.

287 00:34:29.330 00:34:32.850 Sam Roberts: Yeah, nothing. I’ll be able to be super helpful here that I’m super familiar.

288 00:34:33.360 00:34:35.100 Uttam Kumaran: Basically for all of our

289 00:34:35.340 00:34:41.859 Uttam Kumaran: in our plot, we record at every client meeting that we have. And so I want to be able to search

290 00:34:42.270 00:34:51.929 Uttam Kumaran: through all of our transcripts. The use cases for these use cases are.

291 00:34:53.159 00:34:54.869 Uttam Kumaran: let me just put a couple down

292 00:34:56.103 00:35:02.260 Uttam Kumaran: marketing to find opportunities for case studies.

293 00:35:03.423 00:35:10.209 Uttam Kumaran: Searching for reference to a tool or idea.

294 00:35:12.300 00:35:18.350 Uttam Kumaran: Finding all finding trends and

295 00:35:20.630 00:35:25.939 Uttam Kumaran: in meetings. So this is something that I want to kind of like. See? I guess, like

296 00:35:26.080 00:35:28.370 Uttam Kumaran: Casey, I’ll let maybe I’ll let you

297 00:35:29.540 00:35:33.299 Uttam Kumaran: explore these. I don’t know if you want to do a spike on this.

298 00:35:33.440 00:35:35.489 Casie Aviles: Yeah, I’ll I’ll do a spike first.st

299 00:35:38.080 00:35:38.900 Uttam Kumaran: Okay.

300 00:35:42.390 00:35:44.289 Uttam Kumaran: okay, perfect. And then.

301 00:36:01.090 00:36:04.820 Uttam Kumaran: okay, so that would be great. And this one I’m just gonna put for Friday.

302 00:36:07.680 00:36:15.729 Uttam Kumaran: or I’ll put for Thursday, and ideally, we can have a meeting to review this spike.

303 00:36:19.010 00:36:19.800 Uttam Kumaran: Okay.

304 00:36:20.720 00:36:25.538 Uttam Kumaran: The other thing that’s would be great, Miguel, for you to explore is this

305 00:36:26.710 00:36:30.279 Uttam Kumaran: chatbot ui? But I wanted us to consider copilot kit

306 00:36:34.664 00:36:37.179 Uttam Kumaran: which I will send here in the chat.

307 00:36:45.424 00:36:49.910 Uttam Kumaran: Copilot kit is basically like a

308 00:36:50.650 00:36:53.319 Uttam Kumaran: out of the box. Ui for front end.

309 00:36:54.780 00:36:56.180 Uttam Kumaran: Chat bots.

310 00:36:56.280 00:36:59.160 Uttam Kumaran: They also have several other sort of like frameworks.

311 00:37:00.630 00:37:02.119 Uttam Kumaran: But I think we should

312 00:37:03.340 00:37:08.370 Uttam Kumaran: probably consider them. I’m trying to see if I find some examples like,

313 00:37:12.430 00:37:14.190 Uttam Kumaran: yeah, I don’t know, this is like.

314 00:37:14.910 00:37:16.130 Uttam Kumaran: okay, let’s see if I can.

315 00:37:18.220 00:37:22.170 Uttam Kumaran: Yeah, they just had, like they had kind of what I was asking for, which was like.

316 00:37:22.480 00:37:25.120 Uttam Kumaran: what is the best ui for

317 00:37:27.420 00:37:28.079 Miguel de Veyra: In the chat.

318 00:37:28.080 00:37:33.910 Uttam Kumaran: Based web apps like a AI power chat web apps. So we don’t invent our own

319 00:37:34.408 00:37:38.130 Uttam Kumaran: and I got this from a friend who’s like yo. They’re they’re very, very good.

320 00:37:39.590 00:37:41.759 Sam Roberts: This one actually has some familiarity with from a.

321 00:37:41.760 00:37:42.729 Uttam Kumaran: Oh, really.

322 00:37:43.160 00:37:48.829 Sam Roberts: Yeah, I had built a little chat thing and then stumbled across this and was like, Oh, I shouldn’t use that. And I tried to implement.

323 00:37:48.830 00:37:49.950 Sam Roberts: Yeah, but

324 00:37:50.610 00:38:01.179 Uttam Kumaran: So the the basic, the basic idea we have here is like we, we have chat apps in our platform. We also develop chat apps for clients. And

325 00:38:01.340 00:38:03.930 Uttam Kumaran: I, I just want to.

326 00:38:05.340 00:38:07.889 Uttam Kumaran: I just want to be able to use

327 00:38:08.260 00:38:16.970 Uttam Kumaran: the best like, so that we don’t have to implement copy paste here. We don’t have to implement suggestions right? Like, I want to just use whatever the best one is off the shelf.

328 00:38:17.610 00:38:22.980 Sam Roberts: Yeah, I haven’t touched in a few months. And I’ve seen emails. And I’ve seen they’ve been updating stuff. So I’d be curious to think back into.

329 00:38:24.180 00:38:26.330 Miguel de Veyra: Oh, the one they have is like the bubble thing.

330 00:38:26.760 00:38:37.699 Miguel de Veyra: I checked the agent. Chat, ui, and documentation, and then it’s the bubble.

331 00:38:41.220 00:38:43.790 Uttam Kumaran: Yeah, like, I don’t want us to invent this

332 00:38:44.160 00:38:47.809 Uttam Kumaran: like, I just wanna you, I just wanna use them because they have like

333 00:38:48.950 00:38:55.120 Uttam Kumaran: state. They have streaming their context. They’re just gonna have this stuff which we’re. I know we’ve been working on so.

334 00:38:55.700 00:38:56.140 Miguel de Veyra: Yeah, yeah.

335 00:38:56.140 00:38:59.640 Uttam Kumaran: Yeah, I feel like we should just we should just use it. So

336 00:39:00.080 00:39:04.850 Uttam Kumaran: do you want to do us like a spike on this.

337 00:39:05.082 00:39:06.479 Miguel de Veyra: Sorry I sprint the spike. Yeah.

338 00:39:07.880 00:39:08.590 Uttam Kumaran: Okay.

339 00:39:13.350 00:39:18.710 Miguel de Veyra: Should we like involve Hannah or someone in the design team that, hey? This is the direction we’re moving forward.

340 00:39:18.870 00:39:19.950 Miguel de Veyra: Just so they’re aware.

341 00:39:20.259 00:39:27.370 Uttam Kumaran: I would. I would like to us to make a decision on using this tool, first, st because then I can give them the

342 00:39:27.520 00:39:32.110 Uttam Kumaran: documentation, and then say, here’s the parameters you could play around with for design.

343 00:39:32.380 00:39:38.550 Uttam Kumaran: and maybe this is something we go. You can work with Sam on. Or you guys can kind of collaborate a little bit together.

344 00:39:38.690 00:39:39.710 Miguel de Veyra: Okay. Sure.

345 00:39:42.290 00:39:45.420 Uttam Kumaran: So I’m just gonna say, explore copilot kit.

346 00:39:46.575 00:39:48.500 Uttam Kumaran: Maybe. Do you wanna like

347 00:39:48.850 00:39:52.430 Uttam Kumaran: see if you can replace the pool parts one with this.

348 00:39:53.980 00:39:56.680 Miguel de Veyra: Like did we pause with them? By the way.

349 00:39:57.090 00:40:00.749 Uttam Kumaran: Yeah, or like you could do, or you could do it for our internal.

350 00:40:02.380 00:40:03.509 Miguel de Veyra: Okay. Yeah. Sure.

351 00:40:06.670 00:40:12.680 Uttam Kumaran: Yeah, so the kind of the goal is like one demo of core features.

352 00:40:13.220 00:40:26.515 Uttam Kumaran: And then, basically a decision on whether to move forward with Dp, kit, or

353 00:40:29.080 00:40:31.270 Uttam Kumaran: all chat. Uis?

354 00:40:35.410 00:40:41.290 Uttam Kumaran: So yeah, if if I would say, collaborate with Sam on this, and then maybe we can also have this by Thursday.

355 00:40:42.670 00:40:43.490 Miguel de Veyra: Okay. Okay.

356 00:40:50.870 00:40:51.640 Uttam Kumaran: Cool.

357 00:40:54.140 00:40:57.370 Uttam Kumaran: If there’s anything else that’s a very high priority.

358 00:41:02.300 00:41:03.930 Uttam Kumaran: Okay?

359 00:41:17.240 00:41:18.960 Uttam Kumaran: Oh, this is a duplicate.

360 00:41:19.790 00:41:21.479 Uttam Kumaran: Oh, this is the implement. Never mind.

361 00:41:35.900 00:41:43.239 Uttam Kumaran: And then maybe okay. So then let me talk about a couple of things, Sam, on on your side. That would be really helpful.

362 00:41:43.656 00:41:48.640 Uttam Kumaran: I think one thing that I would like to work on, and to take advantage of you being

363 00:41:49.040 00:41:57.719 Uttam Kumaran: fresh eyes to this whole thing is to actually work on a almost like a platform like

364 00:41:58.810 00:42:06.770 Uttam Kumaran: design, Doc, or Prd, so as you’re gonna see all the various parts of our platform over the next

365 00:42:07.220 00:42:18.500 Uttam Kumaran: this week and next week. I think one thing that could be helpful that I have been procrastinating on, but basically have just not had any time to do is like a broader, like

366 00:42:18.780 00:42:22.440 Uttam Kumaran: document about all the different components of our existing platform.

367 00:42:22.944 00:42:25.380 Uttam Kumaran: To give you a sense, we have, like

368 00:42:26.257 00:42:36.330 Uttam Kumaran: we have agents, we have chat bots for our clients. We have slack agents. So I think that will be a great outcome versus just like.

369 00:42:36.630 00:42:41.996 Uttam Kumaran: learn everything. I think that like once it gets codified that, Doc. We can all comment on it. And it’s a great artifact.

370 00:42:42.390 00:42:44.469 Uttam Kumaran: So I’m gonna kind of leave it

371 00:42:47.420 00:42:53.800 Uttam Kumaran: like as that. Maybe just like platform architecture.

372 00:42:59.130 00:43:00.929 Uttam Kumaran: I guess it’s like.

373 00:43:03.610 00:43:06.329 Sam Roberts: Like a review, or like Doc, or like I don’t know how you’re.

374 00:43:07.020 00:43:13.220 Uttam Kumaran: Yeah, I’m just gonna say, I’m just gonna say it’s platform architecture. Just

375 00:43:13.700 00:43:18.160 Uttam Kumaran: document, I think the goal of this will will be to

376 00:43:18.940 00:43:24.119 Uttam Kumaran: like later on down the line. We’ll split this into like more pro the product goals versus like the

377 00:43:24.290 00:43:28.899 Uttam Kumaran: technical side. But I think as long as it’s like everything gets into here.

378 00:43:29.400 00:43:39.770 Uttam Kumaran: I’m fine. So again, the the probably the goals here are sort of like documents each

379 00:43:40.100 00:43:45.439 Uttam Kumaran: core AI application that is running

380 00:43:46.747 00:43:53.460 Uttam Kumaran: across clients and across the brain forge team.

381 00:43:54.791 00:43:59.550 Uttam Kumaran: Includes slack and platform agents.

382 00:44:00.100 00:44:09.497 Uttam Kumaran: This should be a document. Pools. We’re using document sort of like core

383 00:44:12.251 00:44:16.580 Uttam Kumaran: kind of like core frameworks and common patterns.

384 00:44:17.895 00:44:27.260 Uttam Kumaran: And then I would also start to like to see like document areas for improvement.

385 00:44:27.890 00:44:34.649 Uttam Kumaran: And then, really, I think, additionally, as you’re going through this, Sam, we can have a list of

386 00:44:36.540 00:44:40.340 Uttam Kumaran: as your going through

387 00:44:43.270 00:44:50.039 Uttam Kumaran: can start a open question section that way. Anyone can hop in and answer stuff, Async,

388 00:44:53.930 00:44:59.389 Uttam Kumaran: and then we can also I again. I also would be great to start to see like core

389 00:44:59.520 00:45:05.879 Uttam Kumaran: stakeholders or goals or kpis. This one I can. I can help on

390 00:45:08.270 00:45:14.049 Uttam Kumaran: And this you could just write directly in notion. So. We have a documents

391 00:45:14.730 00:45:18.009 Uttam Kumaran: tab in ocean. I’ll just show you where that is.

392 00:45:23.450 00:45:25.080 Uttam Kumaran: You go to documentation.

393 00:45:25.966 00:45:30.119 Uttam Kumaran: You can read about sort of how we think about documentation. But you can

394 00:45:30.260 00:45:36.169 Uttam Kumaran: just click new here and just go ahead. I probably my suggestion is to just like

395 00:45:36.400 00:45:40.900 Uttam Kumaran: stream of consciousness, and then we can use AI to clean it up later.

396 00:45:41.770 00:45:42.430 Sam Roberts: I’m good.

397 00:45:44.290 00:45:47.760 Uttam Kumaran: So this one I’m gonna put for I’m gonna put

398 00:45:48.930 00:45:51.700 Uttam Kumaran: maybe a I’ll put this, maybe for

399 00:45:52.870 00:45:57.120 Uttam Kumaran: next week, or I don’t know, like maybe I’ll put this for next Friday.

400 00:45:57.250 00:46:00.880 Uttam Kumaran: and then we can just like, continue to iterate on this. And then if we

401 00:46:01.500 00:46:04.759 Uttam Kumaran: if we can break this down further, yeah, that would be great.

402 00:46:05.850 00:46:08.500 Sam Roberts: Yeah, I can work on that if I start breaking it down or.

403 00:46:09.440 00:46:12.090 Uttam Kumaran: Okay, perfect.

404 00:46:12.450 00:46:13.920 Uttam Kumaran: Where did this go?

405 00:46:26.410 00:46:29.849 Uttam Kumaran: Okay? And then let me make sure you show up in this. Now.

406 00:46:40.050 00:46:41.070 Uttam Kumaran: Okay.

407 00:46:41.700 00:46:52.729 Uttam Kumaran: so yeah. And I think so, and then I think that’s a good one. And then I think I have one more that would like, I think, give you a good chance to create your 1st Pr, which would be

408 00:46:56.140 00:46:59.740 Uttam Kumaran: what’s a good one? Guys like something that we’ve

409 00:47:00.270 00:47:02.260 Uttam Kumaran: just not had a chance to do

410 00:47:11.540 00:47:13.170 Uttam Kumaran: like the logout state.

411 00:47:16.985 00:47:22.819 Mustafa Raja: We also wanted to make a login page instead of what we currently have.

412 00:47:23.560 00:47:28.229 Uttam Kumaran: Yeah. Right now, when you, when you’re not signed in, you’re you’re treated with this.

413 00:47:29.150 00:47:31.769 Uttam Kumaran: There’s not like a login state. So.

414 00:47:31.770 00:47:36.319 Sam Roberts: That’s perfect. I was literally already making notes about that as I got on there. So I can. I can talk right now.

415 00:47:36.320 00:47:40.800 Uttam Kumaran: Perfect. Yeah. And so hopefully, this will get you first.st

416 00:47:40.800 00:47:47.389 Mustafa Raja: Yeah, and I would. I would do a heads up this. This application is mostly vibe coded.

417 00:47:47.880 00:47:53.240 Mustafa Raja: So you might find some disconnected states among the code.

418 00:47:54.157 00:48:04.070 Mustafa Raja: And yeah, I’d like, I’d like some set of rules that. We can then follow in the future. For security, or something like that

419 00:48:04.320 00:48:08.969 Mustafa Raja: that we can follow and create a more streamlined code base.

420 00:48:16.250 00:48:21.600 Uttam Kumaran: Oh, yeah, also, one thing I’m gonna put here is code repos.

421 00:48:22.370 00:48:26.960 Uttam Kumaran: And for sure, nice.

422 00:48:28.840 00:48:41.170 Uttam Kumaran: Okay? And then I think if you, I think probably the only other thing, and I don’t know if you’ve done anything on this. But I asked the team. We you can when you go into a individual meeting.

423 00:48:41.990 00:48:44.269 Uttam Kumaran: And how are we doing on on time?

424 00:48:45.140 00:48:45.820 Uttam Kumaran: Yeah.

425 00:48:46.020 00:48:56.639 Uttam Kumaran: I have a little bit of time. So when you go into a meeting, you can actually watch a video. But I kind of think this player this is like the default player kind of sucks

426 00:48:57.090 00:49:05.010 Uttam Kumaran: like, similar to like the co-pilot Kit. I don’t know if there’s another like video player

427 00:49:05.460 00:49:13.720 Uttam Kumaran: like framework that we can use. So we can do kind of like the nice things that you could do on like a Youtube, for example, which is like the quick, fast forward chapters

428 00:49:15.090 00:49:15.880 Uttam Kumaran: stuff like that.

429 00:49:15.880 00:49:17.920 Sam Roberts: I don’t. I don’t know worth

430 00:49:17.920 00:49:25.030 Sam Roberts: I mean, I did. I’ve done a little bit of like streaming the video back and things, but like I’ll look into some tools for that, and see if there’s like a drop in that will just.

431 00:49:25.030 00:49:28.219 Uttam Kumaran: Yeah, probably just need some googling. And just.

432 00:49:28.340 00:49:29.810 Sam Roberts: Exactly. Yeah, yeah. But that will give me.

433 00:49:29.810 00:49:40.559 Uttam Kumaran: Guys check this out like this has, yeah, ideally, as close, we can get. It’s like the Youtube experience, where, like, maybe, we have the ability to do chapters, but ideally at least, we can fast forward.

434 00:49:40.690 00:49:45.520 Uttam Kumaran: and like not, everything is just in like this, the super default.

435 00:49:45.970 00:49:50.000 Uttam Kumaran: like whatever HTML player, whatever this is that’d be great.

436 00:49:51.540 00:49:54.274 Uttam Kumaran: Okay, so let me

437 00:49:55.300 00:49:58.513 Uttam Kumaran: So I’m just gonna kind of change this to

438 00:50:14.550 00:50:15.190 Uttam Kumaran: okay.

439 00:50:24.830 00:50:27.820 Uttam Kumaran: and one of the things that I’m trying to do across the team.

440 00:50:28.238 00:50:31.319 Uttam Kumaran: Sam, is where I’m trying to rely more on like

441 00:50:32.170 00:50:42.830 Uttam Kumaran: spikes and reviews of, like some some broader decisions before we were just sort of running. Whatever anyone can take on, let’s just do. But now that we have a crew of folks, we can start to

442 00:50:43.390 00:50:48.210 Uttam Kumaran: get reviews from each other on decisions and things like that. So I guess for everybody that’s

443 00:50:48.540 00:50:50.569 Uttam Kumaran: that’s something we’re going to start to see more of

444 00:50:51.063 00:51:05.140 Uttam Kumaran: and I’ll probably rely on each person on the team who owns an area to like book, a meeting with everybody, to to run through that Review. Additionally, that review meeting gets recorded. And so it’s very easy for us to create the sop from that right like

445 00:51:05.300 00:51:09.909 Uttam Kumaran: right now, we don’t have a we don’t have a meeting on new client process.

446 00:51:10.580 00:51:16.780 Uttam Kumaran: but if we did, we could just literally take the transcript and write the sop from that. So the more kind of review meetings we have.

447 00:51:18.420 00:51:21.729 Uttam Kumaran: We can just take that and immediately create documentation from that.

448 00:51:23.290 00:51:27.299 Uttam Kumaran: Okay, cool. So I think probably the only other thing

449 00:51:28.594 00:51:33.629 Uttam Kumaran: Casey, just on the AI team, I guess. Do you want to take on anything else

450 00:51:33.800 00:51:39.160 Uttam Kumaran: or like, how do you feel? I just wanted to confirm that you’re if you’re gonna have a lot of other ABC work, or

451 00:51:39.350 00:51:42.219 Uttam Kumaran: if you want to take on like one more thing.

452 00:51:42.220 00:51:46.189 Casie Aviles: I think I can take one more thing for internal.

453 00:51:46.740 00:51:51.649 Uttam Kumaran: Okay, then what would be?

454 00:51:51.950 00:51:53.580 Uttam Kumaran: Let’s see.

455 00:52:02.990 00:52:04.449 Casie Aviles: Think one other thing

456 00:52:04.580 00:52:09.820 Casie Aviles: was being able to track the usage of the platform. I’m not sure if you want to

457 00:52:10.740 00:52:12.319 Casie Aviles: prioritize that.

458 00:52:12.670 00:52:17.280 Uttam Kumaran: Yeah. So I’m gonna talk to vash dev a little bit about that right right after this.

459 00:52:21.600 00:52:25.699 Uttam Kumaran: I think this would actually be really good while you’re still working with the operations team.

460 00:52:26.270 00:52:32.009 Uttam Kumaran: This is like the out of office. So when people book out of office, we want it to end up in operating

461 00:52:32.390 00:52:38.429 Uttam Kumaran: for everyone. Operating is our time allocation, planning tool.

462 00:52:38.790 00:52:42.700 Uttam Kumaran: So so all of our resource management is in here.

463 00:52:42.900 00:52:44.769 Uttam Kumaran: So if I log in.

464 00:52:50.720 00:52:53.690 Uttam Kumaran: Where is it? First? st

465 00:53:01.300 00:53:08.630 Uttam Kumaran: if I log in, you’re gonna see all of our active projects

466 00:53:09.960 00:53:12.529 Uttam Kumaran: and like, who’s assigned to what

467 00:53:13.190 00:53:17.240 Uttam Kumaran: and like, how much percent of time. Blah, blah blah. So one of the things that

468 00:53:17.650 00:53:22.200 Uttam Kumaran: amber and rico need is when someone is is out of office.

469 00:53:22.530 00:53:25.350 Uttam Kumaran: you can actually go into their thing

470 00:53:25.520 00:53:31.140 Uttam Kumaran: and basically put in like a time off here, like

471 00:53:31.430 00:53:36.610 Uttam Kumaran: this person is going to be out of out of office that way. This team knows

472 00:53:36.790 00:53:38.669 Uttam Kumaran: that I need to make sure someone can cover.

473 00:53:39.170 00:53:44.759 Uttam Kumaran: I don’t know. Is that something you could do during the to the ui. Did you see that when you were investigating the other week.

474 00:53:45.867 00:53:48.310 Casie Aviles: I haven’t tried like with

475 00:53:48.680 00:53:56.150 Casie Aviles: out of office. But there, there’s probably a way I think I’ve read some ways to do that. Yeah.

476 00:53:57.030 00:53:57.660 Uttam Kumaran: Okay.

477 00:53:58.410 00:54:03.999 Uttam Kumaran: So let’s also just try this out.

478 00:54:06.970 00:54:21.779 Uttam Kumaran: But I feel pretty good, like, I think we’re gonna start having some more client work. And so, Miguel and Casey, I’ll kind of talk to you about that. The only other thing before I move on to data work is Miguel Dan emailed us about the golf thing.

479 00:54:22.000 00:54:23.110 Uttam Kumaran: So.

480 00:54:23.980 00:54:24.500 Miguel de Veyra: Oh, yeah.

481 00:54:24.500 00:54:27.969 Uttam Kumaran: I’m gonna let. I’m gonna let you respond to that email.

482 00:54:28.250 00:54:28.979 Miguel de Veyra: Okay. Okay.

483 00:54:28.980 00:54:34.050 Uttam Kumaran: I’ve already responded like 5 times with, like, we’re working on it. So maybe if

484 00:54:34.430 00:54:37.110 Uttam Kumaran: yeah, you can just explain like, what’s going on. And

485 00:54:39.360 00:54:41.140 Uttam Kumaran: do you want me to review any draft? Yeah.

486 00:54:41.556 00:54:43.220 Miguel de Veyra: I’ll run some stuff

487 00:54:43.350 00:54:56.850 Miguel de Veyra: again, and then cause I had actually run it last week on, I think some. Or was it Sunday? Yeah. But then, yeah, there’s basically no time to book it. I run it on 6, 30 Eastern, like, 5 times.

488 00:54:57.690 00:54:59.610 Miguel de Veyra: But yeah, I’ll check again.

489 00:55:00.285 00:55:04.800 Miguel de Veyra: And then I think it would probably best send them like a loom video or something right?

490 00:55:05.990 00:55:10.979 Uttam Kumaran: Yeah, I would send him a loom video. I just give him an explanation. But I mean, ultimately, he’s gonna want to hear.

491 00:55:11.330 00:55:12.889 Uttam Kumaran: Is it possible or not?

492 00:55:13.973 00:55:14.660 Miguel de Veyra: Yeah. Yeah.

493 00:55:14.880 00:55:15.820 Uttam Kumaran: So.

494 00:55:15.820 00:55:18.769 Miguel de Veyra: There’s a book, if there’s if we can.

495 00:55:18.770 00:55:19.740 Miguel de Veyra: I mean I would you could.

496 00:55:20.340 00:55:21.230 Uttam Kumaran: Running.

497 00:55:21.540 00:55:22.340 Miguel de Veyra: Yeah.

498 00:55:23.260 00:55:27.239 Uttam Kumaran: Well, okay, yeah. So just slack me about that. And then, okay, so then let’s move on to

499 00:55:27.430 00:55:28.015 Uttam Kumaran: to

500 00:55:29.838 00:55:38.359 Uttam Kumaran: to to data work. So I think one of the things that I just moved over here is like all the kind of some of the work that was on the intern

501 00:55:38.540 00:55:41.059 Uttam Kumaran: side which is related to

502 00:55:41.564 00:55:47.245 Uttam Kumaran: sort of some of our performance measurement. So one of the things that I I would like

503 00:55:48.790 00:55:57.070 Uttam Kumaran: voshtev, I think that would be great if you could work on these is documentation for how our core ingestion pipelines are working.

504 00:55:59.050 00:56:06.169 Uttam Kumaran: So this is for we? We are currently ingesting, operating, clockify github and slack

505 00:56:07.218 00:56:11.620 Uttam Kumaran: and so I think it’d be great to just have some documentation around

506 00:56:12.310 00:56:15.759 Uttam Kumaran: like where these live like, what’s the core process?

507 00:56:16.249 00:56:23.479 Uttam Kumaran: This would also give you the ability to go explore those. So I think this is a nice outcome of like learning about all of our core data pipelines.

508 00:56:26.910 00:56:28.660 Uttam Kumaran: Does that make sense.

509 00:56:29.255 00:56:29.850 Vashdev Heerani: Yes!

510 00:56:30.710 00:56:35.150 Uttam Kumaran: So these can all end up in in notion. You could actually probably put this in

511 00:56:35.320 00:56:37.099 Uttam Kumaran: in just one document.

512 00:56:37.795 00:56:42.700 Uttam Kumaran: Which is fine for now, like I wouldn’t worry too much with document formats. Just get all your thoughts there.

513 00:56:46.200 00:56:50.929 Uttam Kumaran: I think another task to work on

514 00:56:51.350 00:56:54.159 Uttam Kumaran: that’s really like a super high priority.

515 00:56:58.160 00:57:03.230 Uttam Kumaran: I think one thing that I would like us to for you to work on this week is

516 00:57:03.480 00:57:10.090 Uttam Kumaran: a spike. On what a performance dashboard for client projects would look like, basically.

517 00:57:10.440 00:57:13.320 Uttam Kumaran: we want to start creating dashboards.

518 00:57:14.450 00:57:16.930 Uttam Kumaran: you know, for client projects that.

519 00:57:16.930 00:57:17.490 Vashdev Heerani: Okay.

520 00:57:17.490 00:57:27.204 Uttam Kumaran: Pull in information from all of those sources. So pulls in time spent. Cost it can pull in

521 00:57:28.730 00:57:33.800 Uttam Kumaran: It can pull in like slack messages, linear tickets?

522 00:57:38.670 00:57:45.219 Uttam Kumaran: and basically, I think I would like to just see a spike on like, okay, what are? What would the sources be for this. What are the core? Kpis.

523 00:57:45.916 00:57:51.169 Uttam Kumaran: basically to give you a sense of like me, and the project management team will be the core

524 00:57:51.810 00:57:58.470 Uttam Kumaran: benefici, you know, beneficiaries from from this. Basically, we want to be able to look at our team efficiency

525 00:57:58.600 00:58:00.919 Uttam Kumaran: when it comes to clients.

526 00:58:01.950 00:58:02.470 Vashdev Heerani: Okay.

527 00:58:02.470 00:58:06.000 Uttam Kumaran: I think this is another one that’s kind of open ended. But we’ll give you kind of.

528 00:58:06.390 00:58:13.729 Uttam Kumaran: Similarly, as you go through that we’ll give you a very fast understanding of like how our business works. Who’s in the business?

529 00:58:13.980 00:58:17.880 Uttam Kumaran: Who are the clients like, you know? It’ll it’ll throw you into all that.

530 00:58:20.750 00:58:28.990 Uttam Kumaran: I think. For this one I think.

531 00:58:30.710 00:58:36.570 Uttam Kumaran: Ryan, I think you can work on this. I feel like I think we have this data already in Snowflake.

532 00:58:36.970 00:58:38.360 Uttam Kumaran: The linear data.

533 00:58:41.652 00:58:43.280 Uttam Kumaran: Oh, oh, yeah.

534 00:58:46.790 00:58:48.100 Luke Daque: Yeah, I can take a look at it.

535 00:58:48.720 00:58:49.370 Uttam Kumaran: Okay.

536 00:58:58.790 00:59:13.170 Uttam Kumaran: okay, great. And then this one is gonna be blocked by this one.

537 00:59:20.890 00:59:27.769 Uttam Kumaran: Okay, so I yeah, ideally that these would be helpful. I think, Vasha, we’ll talk today, and I’ll kind of

538 00:59:27.900 00:59:30.530 Uttam Kumaran: we can kind of go through each of these and and

539 00:59:30.660 00:59:34.060 Uttam Kumaran: help you make some progress. There are some other ones here.

540 00:59:35.570 00:59:41.270 Uttam Kumaran: that I want to start to look at. But I kind of want us to start here and

541 00:59:41.580 00:59:45.940 Uttam Kumaran: and just begin with these. So we don’t take on too much this week.

542 00:59:46.862 00:59:52.519 Uttam Kumaran: Okay, we have a couple of minutes left, any questions overall. And I just wanna make sure.

543 00:59:53.050 00:59:58.210 Uttam Kumaran: damn. And so you guys have access to this. You have access to Github.

544 00:59:58.768 01:00:02.780 Uttam Kumaran: I’ll I’ll start to think about anything else that you need access to

545 01:00:04.630 01:00:11.559 Uttam Kumaran: But probably my only recommendation is ask questions first.st So just feel free to put in the AI team. We’re all

546 01:00:11.690 01:00:15.569 Uttam Kumaran: on slack all day, especially this team. I feel like.

547 01:00:16.198 01:00:18.351 Uttam Kumaran: We’re all usually always on. So

548 01:00:18.820 01:00:23.010 Uttam Kumaran: we will. We can answer questions. But let me know if there’s anything else.

549 01:00:25.660 01:00:29.320 Sam Roberts: Oh, yeah, I think I got into Github and linear earlier. So I should be good.

550 01:00:30.140 01:00:36.910 Vashdev Heerani: Okay? So I, I have a question like, where can I get the documentation already that we we have a documentation.

551 01:00:37.910 01:00:41.900 Uttam Kumaran: Yeah. So this one you’ll have to ask in the

552 01:00:42.860 01:00:46.270 Uttam Kumaran: I would ask in the data panel.

553 01:00:47.181 01:00:54.740 Uttam Kumaran: there’s a data team channel. I would just ask, and I have some notes, but I think a waste has some, and some other people on the team may

554 01:00:55.040 01:00:58.090 Uttam Kumaran: have some answers.

555 01:00:58.090 01:00:59.719 Vashdev Heerani: Okay. Okay.

556 01:01:00.040 01:01:03.890 Luke Daque: No, I would just ask that, like.

557 01:01:05.108 01:01:10.210 Luke Daque: documentation for all the data stuff. But yeah, just go ahead and ask the data team.

558 01:01:14.390 01:01:36.489 Uttam Kumaran: Yeah. And I think probably after this week and next week for both Sam and Vosh. So I’ll kind of you kind. You guys will start to get involved on the client. Work to the easiest work to take on is the stuff for us, and you’ll start to see the adjacencies to the client work, and then the the only reason I don’t want to throw you into client work right now is there’s timelines, and

559 01:01:37.010 01:01:40.700 Uttam Kumaran: it’s just a little. It’s just slightly more tense, so

560 01:01:41.090 01:01:57.800 Uttam Kumaran: hover around it and see it. I’ll I’ll start to show you. Start to get a sense of the client work from from this meeting. And now, given, our team is so big we have to do sort of review meetings and stuff. So you’ll start to get a sense of all the stuff we’re working on, and this crew is pretty good at Async, so we use slack

561 01:01:58.310 01:02:03.490 Uttam Kumaran: for everything like so try to avoid as many like

562 01:02:03.820 01:02:09.609 Uttam Kumaran: super update meetings. And then we do this meeting on Monday, and then we just have stand ups in the morning

563 01:02:09.950 01:02:18.929 Uttam Kumaran: this week, maybe a little bit weird. I’m I need. I have some. I need to do quite a bit of development work tomorrow and on Wednesday.

564 01:02:19.150 01:02:22.459 Uttam Kumaran: so I may move it a little bit. I have to decide.

565 01:02:24.560 01:02:28.390 Uttam Kumaran: But perfect. Okay, anything else.

566 01:02:32.400 01:02:33.160 Uttam Kumaran: Okay?

567 01:02:33.370 01:02:40.059 Uttam Kumaran: Awesome. Well, welcome to the team guys. And yeah, excited. For this week we have a lot on our plate, so let me know how I can help.

568 01:02:42.040 01:02:42.670 Miguel de Veyra: Room.

569 01:02:42.670 01:02:43.520 Uttam Kumaran: Thanks. Everyone.

570 01:02:44.010 01:02:44.689 Sam Roberts: Good meeting. Y’all.

571 01:02:44.690 01:02:45.150 Vashdev Heerani: Yeah.

572 01:02:45.740 01:02:46.330 Uttam Kumaran: Bye.